Trustworthy and Ethical AI for Intrusion Detection in Healthcare IoT (IoMT) Systems: An Agentic Decision Loop Framework حسب ibrahim adabara (22107287)

"…</p><h2>️ Repository Structure</h2><pre><pre>agentic-ethical-ids-healthcare/<br>│<br>├── src/ # Source code for model, rule engine, and agent<br>│ ├── train_agent.py<br>│ ├── ethical_engine.py<br>│ ├── detector_model.py<br>│ └── utils/<br>│<br>├── data/ # Links or sample data subsets<br>│ ├── CIC-IoMT-2024/ <br>│ └── CSE-CIC-IDS2018/<br>│<br>├── notebooks/ # Jupyter notebooks for training and analysis<br>│<br>├── models/ # Pretrained model checkpoints (.pth, .pkl)<br>│<br>├── results/ # Evaluation outputs and figures<br>│<br>├── requirements.txt # Python dependencies<br>├── LICENSE # MIT License for open research use<br>└── README.md # Project documentation<br></pre></pre><h2>⚙️ Setup and Installation</h2><p dir="ltr">Clone the repository and set up your environment:</p><pre><pre>git clone https://github.com/ibrahimadabara01/agentic-ethical-ids-healthcare.git<br>cd agentic-ethical-ids-healthcare<br>python -m venv venv<br>source venv/bin/activate # On Windows: venv\Scripts\activate<br>pip install -r requirements.txt<br></pre></pre><h2> Datasets</h2><p dir="ltr">This project uses three datasets:</p><table><tr><th><p dir="ltr">Dataset</p></th><th><p dir="ltr">Purpose</p></th><th><p dir="ltr">Source</p></th></tr><tr><td><b>CIC-IoMT 2024</b></td><td><p dir="ltr">Primary IoMT intrusion detection dataset</p></td><td><a href="https://www.unb.ca/cic/datasets/index.html" rel="noopener" target="_new">Canadian Institute for Cybersecurity</a></td></tr><tr><td><b>CSE-CIC-IDS2018</b></td><td><p dir="ltr">Domain-shift evaluation</p></td><td><a href="https://www.unb.ca/cic/datasets/ids-2018.html" rel="noopener" target="_new">CIC Dataset Portal</a></td></tr><tr><td><b>MIMIC-IV (Demo)</b></td><td><p dir="ltr">Clinical context signals</p></td><td><a href="https://physionet.org/content/mimic-iv-demo/2.2/" rel="noopener" target="_new">PhysioNet</a></td></tr></table><blockquote><p dir="ltr">⚠️ Note: All datasets are publicly available. …"

CpG Signature Profiling and Heatmap Visualization of SARS-CoV Genomes: Tracing the Genomic Divergence From SARS-CoV (2003) to SARS-CoV-2 (2019) حسب Tahir Bhatti (20961974)

"…</p><p dir="ltr">Heatmap Images :</p><p dir="ltr">Heatmaps for CpG counts and O/E ratios comparing Wuhan-Hu-1 with its closest and most distant relatives.</p><p dir="ltr">Python Script :</p><p dir="ltr">Full Python code used for data processing, distance calculation, and heatmap generation.…"

<b>EEG dataset for multi-class Chinese character stroke and pinyin vowel handwriting imagery (16 subjects, CCS-HI & SV-HI)</b> حسب Fan Wang (22125886)

"…Preprocessing & Trial Integrity</h3><p dir="ltr">The publicly released dataset contains raw EEG data (no preprocessing); preprocessing (via MNE-Python, code in code folder) was only conducted for model training/testing: 1–40 Hz Butterworth bandpass filtering + 50 Hz notch filtering for noise reduction, manual bad channel labeling (EEGLAB) and spherical spline interpolation (per BIDS _channels.tsv), downsampling from 1000 Hz to 250 Hz, z-score normalization per trial, and epoch extraction of the 0–4 s imagery period (for both tasks). …"

Measuring diaphragmatic excursion using 4-Dimensional Ultrasound: a feasibility study حسب Adam Handley (21524120)

"…</p><p dir="ltr">This dataset contains Voluson ultrasound data files of diaphragm motion from 12 participants, the raw python code to process this data and the compiled executable of the python scripts. …"

Dataset about Warming Effects on Carbon Cycling and Greenhouse Gas Fluxes in Permafrost Ecosystems حسب Tao Bao (8583177)

"…“Data_publications.docx” contains all the 132 references of the articles for the dataset.</p><p dir="ltr">4. “Code.rar” includes all the Python code for data scraping, site map plotting, data validation (funnel plots), and table data generation for this study.…"

MCCN Case Study 4 - Validating gridded data products حسب Donald Hobern (21435904)

"…</p><p dir="ltr">The dataset contains input files for the case study (source_data), RO-Crate metadata (ro-crate-metadata.json), results from the case study (results), and Jupyter Notebook (MCCN-CASE 4.ipynb)</p><h4><b>Research Activity Identifier (RAiD)</b></h4><p dir="ltr">RAiD: https://doi.org/10.26292/8679d473</p><h4><b>Case Studies</b></h4><p dir="ltr">This repository contains code and sample data for the following case studies. …"

Deciphering pseudouridylation profiles and their biogenesis from deep sequencing data using psiFinder حسب zhirong chen (20863529)

"…<p dir="ltr">Compiled programs (C) and scripts (shell/R/perl/python) of psiFinder. Source QT codes of psiFinder.…"

Data Sheet 1_Toward a unified gait freeze index: a standardized benchmark for clinical and regulatory evaluations.pdf حسب Alessandro Schaer (14234780)

"…Our algorithm is made available as open-source Python code, promoting accessibility and reproducibility.…"

Fertility Rates in Mexico by State (1950–2070) حسب Montserrat Mora (20430644)

"…</li><li>A <code>requirements.txt</code> file specifying the necessary Python libraries for running the script.…"

DCPR_V1.0 حسب xiao han (21405770)

"…</p><p dir="ltr"><b>DCPR_codes</b>: Source code for DCPR model.</p><p dir="ltr"><b>Visualization</b>: Scripts for data visualization, including circadian curves (cosine model fitting), sample plots (predicted and real time), model performance (CDF curves, and accuracy plots).…"

Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection حسب Dheeraj Reddy (21588170)

"…</p><p dir="ltr">Preprocessing Workflow</p><p dir="ltr">The preprocessing logic performs a comprehensive transformation of the raw data using the following stages:</p><ol><li>Raw Data Ingestion</li></ol><ul><li>Captures the following fields from each mouse event:</li><li><ul><li><code>x</code>, <code>y</code> coordinates</li><li><code>client_timestamp</code> (in milliseconds)</li><li>Mouse <code>button</code> and <code>state</code> (Pressed/Released)</li><li>Active application <code>window</code></li></ul></li><li>Data is sourced from three subdirectories per user: <code>training</code>, <code>internal_tests</code>, and <code>external_tests</code></li></ul><ol><li>Kinematic Feature Computation</li></ol><ul><li>Derives time-dependent physical features:</li><li><ul><li><code>velocity</code>, <code>acceleration</code>, <code>jerk</code>, and <code>curvature</code></li></ul></li><li>Accounts for timestamp anomalies, division-by-zero, and missing values</li><li>Applies directional smoothing and curvature approximation using angular differences</li></ul><ol><li>Session-Based Feature Engineering</li></ol><ul><li>Computes the following per session:</li><li><ul><li><code>session_duration</code>, <code>total_distance</code></li><li><code>num_actions</code>, <code>num_clicks</code>, <code>num_strokes</code></li><li><code>mean_time_per_action</code>, <code>avg_drag_time</code></li></ul></li></ul><ol><li>Statistical Aggregation</li></ol><p dir="ltr">For each derived motion variable, the following descriptors are computed:</p><ul><li><code>mean</code>, <code>std</code>, <code>min</code>, <code>max</code>, <code>median</code>, <code>25th percentile (q25)</code>, <code>75th percentile (q75)</code></li></ul><ol><li>Label Alignment</li></ol><ul><li>Merges session-level features with binary labels from <code>labels.csv</code></li><li><ul><li><code>risk = 0</code>: Normal session</li><li><code>risk = 1</code>: Anomalous session (e.g., unauthorized access)</li></ul></li><li>Ensures every row is traceable via <code>session_name</code></li></ul><ol><li>Output Generation</li></ol><ul><li>Final output: <code>featurized_mouse_data.csv</code></li><li>Includes:</li><li><ul><li>All engineered features</li><li><code>session_name</code>, <code>serial_no.…"

Mexico Foreign Trade by Country (1993-2025) حسب Montserrat Mora (20430644)

"…<p dir="ltr">This project features a Python script designed to visualize Mexico's trade relationships from 1993 to 2025. …"

<b>Antibiotics in the Global River System Arising from Human Consumption</b> حسب Heloisa Ehalt Macedo (10319300)

"…</p><p dir="ltr">The data repository includes 3 datasets:</p><p dir="ltr">1. Python code: python project repository including the structure necessary for the model to run.…"

MCCN Case Study 5 - Produce farm zone map حسب Donald Hobern (21435904)

"…</p><h4><b>Dependencies</b></h4><ul><li>This notebook requires Python 3.10 or higher</li><li>Install relevant Python libraries with: <b>pip install mccn-engine rocrate pykrige scikit-learn</b></li><li>Installing mccn-engine will install other dependencies</li></ul><p><br></p>…"

MM_DyGNN حسب lei zhu (21605300)

"…<p dir="ltr">This is the python code and data of the article 'Adaptive dynamic graph learning for forecasting urban demand for multimodal travel' submitted to Taylor & Francis in International Journal of Geographical Information Science.…"

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event حسب Thomas Clemens Carmine (19756929)

"…Includes imputation statistics, data dictionary, and the Python imputation code (Imputation_Air_Pollutants_NABEL.py). …"

Pteredactyl: Patient Clinical Free-Text Redaction Software حسب Matt Stammers (14037525)

"…</li><li>We have submitted the code to <a href="https://www.ohdsi.org/" rel="noopener noreferrer" target="_blank">OHDSI</a> as an abstract and aim strongly to incorporate this into a wider open-source effort to solve intractable clinical informatics problems.…"

Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 حسب Jordan Waters (21620558)

"…<br><br><br><b>ORCID ID: https://orcid.org/0009-0009-0793-8089</b><br></p><p dir="ltr"><b>Code Availability:</b></p><p dir="ltr"><b>All Python tools used for GoP simulations and predictions are available at:</b></p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Probabilistic-Curvature</b><br><br>The Gravity of Probability framework is implemented in this public Python codebase that reproduces all published GoP predictions from preexisting DESI data, using a single fixed set of global parameters. …"

Leveraging Large Language Models as Requirements Elicitation Interview Bots-all data حسب Samuel Gorsch (19947618)

"…<p dir="ltr"><b>Title:</b> Code and Supplementary Files for "Leveraging Large Language Models as Requirements Elicitation Interview Bots"</p><p dir="ltr"><b>Description:</b><br>This repository contains all code, supplementary plots, and select data files used in the master’s thesis, "Leveraging Large Language Models (LLMs) as Requirements Elicitation Interview Bots." …"

MCCN Case Study 3 - Select optimal survey locality حسب Donald Hobern (21435904)

"…</p><p dir="ltr">The dataset contains input files for the case study (source_data), RO-Crate metadata (ro-crate-metadata.json), results from the case study (results), and Jupyter Notebook (MCCN-CASE 3.ipynb)</p><h4><b>Research Activity Identifier (RAiD)</b></h4><p dir="ltr">RAiD: https://doi.org/10.26292/8679d473</p><h4><b>Case Studies</b></h4><p dir="ltr">This repository contains code and sample data for the following case studies. …"